AI / Machine Learning Architect

4 days ago

Bangalore, India Z47 Full time

We are currently helping hire an AI Architect/ Head of AI for a couple of portfolios. Experience - 8+ years The Head of AI / AI Architect will be responsible for defining and driving the technical and architectural vision for a next-generation AdTech ecosystem. This includes building scalable, low-latency systems such as ad exchanges, SSP/DSP integration layers, and real-time bidding infrastructure. This role is ideal for someone who is hands-on, highly technical, and capable of translating business goals into robust, future-proof engineering and AI/ML-driven solutions while mentoring and scaling a high-performance technology team. Architecture & System Design Define the end-to-end technical architecture for programmatic advertising components including Ad Exchange, SSP, DSP integrations, and RTB systems. Build a modular architecture that supports plug-and-play demand– and supply-side integrations. Lead architectural reviews, scalability planning, performance tuning, and system optimization. Technology Strategy & AI Roadmap Evaluate and implement emerging technologies such as edge bidding, clean rooms, contextual AI models, and privacy-first machine learning. Partner with product and business teams to ensure strong alignment between architecture, features, and revenue strategy. Collaborate closely with backend and platform engineers to define best practices for design, development, data handling, and security. Mentor engineering talent and establish strong foundations across DevOps, CI/CD, observability, and reliability engineering. Data, ML & Infrastructure Architect real-time data pipelines for analytics, reporting, experimentation, and machine-learning-driven optimization. Ensure high availability, distributed fault tolerance, and efficient data storage across large-scale environments. Work with DevOps teams to improve cloud efficiency, network performance, and system observability. Architect with privacy, transparency, and regulatory standards in mind (e.g., Establish frameworks for consent management, identity resolution, audience segmentation, and privacy-first AI/ML systems. Experience architecting high-throughput, distributed systems (100K+ QPS). Languages: Go, Java, Rust Cloud & Infra: AWS/GCP, Kubernetes, Terraform Data/ML Systems: ETL pipelines, analytics stores, model deployment, and real-time decision engines Experience building real-time optimization engines using multi-signal data inputs. Proven experience as Chief Architect, Principal Engineer, or Distinguished Engineer in AdTech/B2B or other high-scale data/AI-driven environments.

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